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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Radiomics feature reliability assessed by intraclass correlation coefficient: a systematic review
Cindy Xue, Jing Yuan, Gladys Lo, et al.
Quantitative Imaging in Medicine and Surgery (2021) Vol. 11, Iss. 10, pp. 4431-4460
Open Access | Times Cited: 112

Showing 1-25 of 112 citing articles:

Joint EANM/SNMMI guideline on radiomics in nuclear medicine
Mathieu Hatt, Aron K. Krizsan, Arman Rahmim, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2022) Vol. 50, Iss. 2, pp. 352-375
Open Access | Times Cited: 79
Radiomics and artificial intelligence for precision medicine in lung cancer treatment
Mitchell Chen, Susan J. Copley, Patrizia Viola, et al.
Seminars in Cancer Biology (2023) Vol. 93, pp. 97-113
Open Access | Times Cited: 76
Fusion-based tensor radiomics using reproducible features: Application to survival prediction in head and neck cancer
Mohammad R. Salmanpour, Mahdi Hosseinzadeh, Seyed Masoud Rezaeijo, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 240, pp. 107714-107714
Closed Access | Times Cited: 45
Radiomics and Deep Features: Robust Classification of Brain Hemorrhages and Reproducibility Analysis Using a 3D Autoencoder Neural Network
Salar Bijari, Sahar Sayfollahi, S. Rouhani, et al.
Bioengineering (2024) Vol. 11, Iss. 7, pp. 643-643
Open Access | Times Cited: 20
Current Applications of Deep Learning and Radiomics on CT and CBCT for Maxillofacial Diseases
Kuo Feng Hung, Qi Yong H. Ai, Lun M. Wong, et al.
Diagnostics (2022) Vol. 13, Iss. 1, pp. 110-110
Open Access | Times Cited: 44
Deep versus Handcrafted Tensor Radiomics Features: Prediction of Survival in Head and Neck Cancer Using Machine Learning and Fusion Techniques
Mohammad R. Salmanpour, Seyed Masoud Rezaeijo, Mahdi Hosseinzadeh, et al.
Diagnostics (2023) Vol. 13, Iss. 10, pp. 1696-1696
Open Access | Times Cited: 41
Harmonization Strategies in Multicenter MRI-Based Radiomics
Elisavet Stamoulou, Constantinos Spanakis, Georgios C. Manikis, et al.
Journal of Imaging (2022) Vol. 8, Iss. 11, pp. 303-303
Open Access | Times Cited: 39
Deep learning-based segmentation of dental implants on cone-beam computed tomography images: A validation study
Bahaaeldeen M. Elgarba, Stijn Van Aelst, Abdullah Swaity, et al.
Journal of Dentistry (2023) Vol. 137, pp. 104639-104639
Open Access | Times Cited: 29
Deep learning and machine learning predictive models for neurological function after interventional embolization of intracranial aneurysms
Yan Peng, Yiren Wang, Zhongjian Wen, et al.
Frontiers in Neurology (2024) Vol. 15
Open Access | Times Cited: 9
Prediction of recurrence-free survival and adjuvant therapy benefit in patients with gastrointestinal stromal tumors based on radiomics features
Fu-Hai Wang, Hua‐Long Zheng, Jintao Li, et al.
La radiologia medica (2022) Vol. 127, Iss. 10, pp. 1085-1097
Closed Access | Times Cited: 26
Robustness of radiomics to variations in segmentation methods in multimodal brain MRI
Maarten Gijsbert Poirot, Matthan W.A. Caan, Henricus G. Ruhé, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 23
Ultrasonic Texture Features for Assessing Cardiac Remodeling and Dysfunction
Quincy A. Hathaway, Naveena Yanamala, Nanda K. Siva, et al.
Journal of the American College of Cardiology (2022) Vol. 80, Iss. 23, pp. 2187-2201
Open Access | Times Cited: 23
Prediction of the mitotic index and preoperative risk stratification of gastrointestinal stromal tumors with CT radiomic features
Jian‐Xian Lin, Fu-Hai Wang, Zu‐Kai Wang, et al.
La radiologia medica (2023) Vol. 128, Iss. 6, pp. 644-654
Closed Access | Times Cited: 13
Validation of a novel AI‐based automated multimodal image registration of CBCT and intraoral scan aiding presurgical implant planning
Bahaaeldeen M. Elgarba, Rocharles Cavalcante Fontenele, Saleem Ali, et al.
Clinical Oral Implants Research (2024) Vol. 35, Iss. 11, pp. 1506-1517
Open Access | Times Cited: 5
Reliability of MRI radiomics features in MR‐guided radiotherapy for prostate cancer: Repeatability, reproducibility, and within‐subject agreement
Cindy Xue, Jing Yuan, Darren M.C. Poon, et al.
Medical Physics (2021) Vol. 48, Iss. 11, pp. 6976-6986
Closed Access | Times Cited: 30
A hierarchical image matting model for blood vessel segmentation in retinal images
S. Swathi, S. Sushma, C. Devi Supraja, et al.
International Journal of Systems Assurance Engineering and Management (2021) Vol. 13, Iss. 3, pp. 1093-1101
Closed Access | Times Cited: 30
Impact of image quality on radiomics applications
Yunfeng Cui, F Yin
Physics in Medicine and Biology (2022) Vol. 67, Iss. 15, pp. 15TR03-15TR03
Closed Access | Times Cited: 19
Contrast-enhanced CT radiomics improves the prediction of abdominal aortic aneurysm progression
Yan Wang, Fei Xiong, Joseph Leach, et al.
European Radiology (2023) Vol. 33, Iss. 5, pp. 3444-3454
Closed Access | Times Cited: 12
Multi-sequence MRI radiomics of colorectal liver metastases: Which features are reproducible across readers?
Denise J. van der Reijd, Kalina Chupetlovska, Eleanor van Dijk, et al.
European Journal of Radiology (2024) Vol. 172, pp. 111346-111346
Open Access | Times Cited: 4
Role of radiomics as a predictor of disease recurrence in ovarian cancer: a systematic review
Niall J. O’Sullivan, Hugo C. Temperley, M. Horan, et al.
Abdominal Radiology (2024) Vol. 49, Iss. 10, pp. 3540-3547
Open Access | Times Cited: 4
Novel AI‐based tool for primary tooth segmentation on CBCT using convolutional neural networks: A validation study
Sara Elsonbaty, Bahaaeldeen M. Elgarba, Rocharles Cavalcante Fontenele, et al.
International Journal of Paediatric Dentistry (2024)
Open Access | Times Cited: 4
CT-based machine learning radiomics predicts Ki-67 expression level and its relationship with overall survival in resectable pancreatic ductal adenocarcinoma
Jiahao Chen, Zhuangxuan Ma, Yamin Xu, et al.
Abdominal Radiology (2025)
Closed Access
Metatranscriptomic time series insight into antibiotic resistance genes and mobile genetic elements in wastewater systems under antibiotic selective pressure
Andong Li, Yuanfang Chen, Lei Han, et al.
BMC Microbiology (2025) Vol. 25, Iss. 1
Open Access
Comparative performance of multiple ensemble learning models for preoperative prediction of tumor deposits in rectal cancer based on MR imaging
Ao Wang, Fayong Hu, Jin Li, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
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